Hybrid approach for designing smart adaptive Web Sites

The very beginning of the research on Smart Adaptive Web Systems (SAWS). They are systems that adapt their response based on the context in which they are used. In AWS, three main sources of information have been identified are: user, environment, and technology. To design a site for adaptivity, the...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Kelash, Hamdey M., Koutb, Magdy M., Abu Al Kahir, Mona M.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2009
Materias:
Ciencias Informáticas
adaptivity
prediction
automatic synthesizing
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9653
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct09-4.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9653
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
adaptivity
prediction
automatic synthesizing
spellingShingle Ciencias Informáticas
adaptivity
prediction
automatic synthesizing
Kelash, Hamdey M.
Koutb, Magdy M.
Abu Al Kahir, Mona M.
Hybrid approach for designing smart adaptive Web Sites
topic_facet Ciencias Informáticas
adaptivity
prediction
automatic synthesizing
description The very beginning of the research on Smart Adaptive Web Systems (SAWS). They are systems that adapt their response based on the context in which they are used. In AWS, three main sources of information have been identified are: user, environment, and technology. To design a site for adaptivity, the site s parts must be changeable according to users needs and interests. This paper represents a careful study of a large number of adaptive web systems which are used for adapting predesigned web pages and automatic synthesizing web pages. It suggests a new approach to extract the user s interest without the need of many visits to the web site or viewing the catalog in details. Different E-metrics are measured to evaluate the user s history, extract users interests, create adaptable interface, and synthesize a new page with special features referring to users needs and interests and also predict the next step the user may need.
format Articulo
Articulo
author Kelash, Hamdey M.
Koutb, Magdy M.
Abu Al Kahir, Mona M.
author_facet Kelash, Hamdey M.
Koutb, Magdy M.
Abu Al Kahir, Mona M.
author_sort Kelash, Hamdey M.
title Hybrid approach for designing smart adaptive Web Sites
title_short Hybrid approach for designing smart adaptive Web Sites
title_full Hybrid approach for designing smart adaptive Web Sites
title_fullStr Hybrid approach for designing smart adaptive Web Sites
title_full_unstemmed Hybrid approach for designing smart adaptive Web Sites
title_sort hybrid approach for designing smart adaptive web sites
publishDate 2009
url http://sedici.unlp.edu.ar/handle/10915/9653
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct09-4.pdf
work_keys_str_mv AT kelashhamdeym hybridapproachfordesigningsmartadaptivewebsites
AT koutbmagdym hybridapproachfordesigningsmartadaptivewebsites
AT abualkahirmonam hybridapproachfordesigningsmartadaptivewebsites
bdutipo_str Repositorios
_version_ 1764820492222464002

Ejemplares similares